File size: 4,488 Bytes
beffe4b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 | import cupy
from cupy import _core
import cupy._core._routines_manipulation as _manipulation
# Shape map for atleast_nd functions
# (minimum dimension, input dimension) -> (output shape)
_atleast_nd_shape_map = {
(1, 0): lambda shape: (1,),
(2, 0): lambda shape: (1, 1),
(2, 1): lambda shape: (1,) + shape,
(3, 0): lambda shape: (1, 1, 1),
(3, 1): lambda shape: (1,) + shape + (1,),
(3, 2): lambda shape: shape + (1,),
}
def _atleast_nd_helper(n, arys):
"""Helper function for atleast_nd functions."""
res = []
for a in arys:
a = cupy.asarray(a)
if a.ndim < n:
new_shape = _atleast_nd_shape_map[(n, a.ndim)](a.shape)
a = a.reshape(*new_shape)
res.append(a)
if len(res) == 1:
res, = res
return res
def atleast_1d(*arys):
"""Converts arrays to arrays with dimensions >= 1.
Args:
arys (tuple of arrays): Arrays to be converted. All arguments must be
:class:`cupy.ndarray` objects. Only zero-dimensional array is
affected.
Returns:
If there are only one input, then it returns its converted version.
Otherwise, it returns a list of converted arrays.
.. seealso:: :func:`numpy.atleast_1d`
"""
return _atleast_nd_helper(1, arys)
def atleast_2d(*arys):
"""Converts arrays to arrays with dimensions >= 2.
If an input array has dimensions less than two, then this function inserts
new axes at the head of dimensions to make it have two dimensions.
Args:
arys (tuple of arrays): Arrays to be converted. All arguments must be
:class:`cupy.ndarray` objects.
Returns:
If there are only one input, then it returns its converted version.
Otherwise, it returns a list of converted arrays.
.. seealso:: :func:`numpy.atleast_2d`
"""
return _atleast_nd_helper(2, arys)
def atleast_3d(*arys):
"""Converts arrays to arrays with dimensions >= 3.
If an input array has dimensions less than three, then this function
inserts new axes to make it have three dimensions. The place of the new
axes are following:
- If its shape is ``()``, then the shape of output is ``(1, 1, 1)``.
- If its shape is ``(N,)``, then the shape of output is ``(1, N, 1)``.
- If its shape is ``(M, N)``, then the shape of output is ``(M, N, 1)``.
- Otherwise, the output is the input array itself.
Args:
arys (tuple of arrays): Arrays to be converted. All arguments must be
:class:`cupy.ndarray` objects.
Returns:
If there are only one input, then it returns its converted version.
Otherwise, it returns a list of converted arrays.
.. seealso:: :func:`numpy.atleast_3d`
"""
return _atleast_nd_helper(3, arys)
broadcast = _core.broadcast
def broadcast_arrays(*args):
"""Broadcasts given arrays.
Args:
args (tuple of arrays): Arrays to broadcast for each other.
Returns:
list: A list of broadcasted arrays.
.. seealso:: :func:`numpy.broadcast_arrays`
"""
return list(broadcast(*args).values)
def broadcast_to(array, shape):
"""Broadcast an array to a given shape.
Args:
array (cupy.ndarray): Array to broadcast.
shape (tuple of int): The shape of the desired array.
Returns:
cupy.ndarray: Broadcasted view.
.. seealso:: :func:`numpy.broadcast_to`
"""
return _core.broadcast_to(array, shape)
def expand_dims(a, axis):
"""Expands given arrays.
Args:
a (cupy.ndarray): Array to be expanded.
axis (int): Position where new axis is to be inserted.
Returns:
cupy.ndarray: The number of dimensions is one greater than that of
the input array.
.. seealso:: :func:`numpy.expand_dims`
"""
if type(axis) not in (tuple, list):
axis = axis,
return _manipulation._expand_dims(a, axis)
def squeeze(a, axis=None):
"""Removes size-one axes from the shape of an array.
Args:
a (cupy.ndarray): Array to be reshaped.
axis (int or tuple of ints): Axes to be removed. This function removes
all size-one axes by default. If one of the specified axes is not
of size one, an exception is raised.
Returns:
cupy.ndarray: An array without (specified) size-one axes.
.. seealso:: :func:`numpy.squeeze`
"""
# TODO(okuta): check type
return a.squeeze(axis)
|